Ö Tosun, MK Marichelvam… - International Journal of …, 2020 - inderscienceonline.com
Scheduling problems are one of the widely used problems which have both academic and real-life applications. In academic fields, it can be used to test the efficiency of a newly …
J Dong, C Ye - Computers & Industrial Engineering, 2022 - Elsevier
In order to build a green manufacturing model and realize energy conservation and emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …
In this study, the flexible task scheduling problem in a cloud computing system is studied and solved by a hybrid discrete artificial bee colony (ABC) algorithm, where the considered …
This paper presents a genetic algorithm to solve the hybrid flow shop scheduling problem to minimize the total tardiness. Practical assumptions as unrelated machines and machine …
Dynamic scheduling is crucial for semiconductor manufacturing as product-mix is increasing with shortening product life cycle. However, the present problem is challenging owing to …
In this paper, an m-stage hybrid flow shop scheduling problem with limited workforce in charge of performing setup operations is addressed. Indeed, such workforce represents a …
The distributed reentrant permutation flow shop (DRPFS) is a combination of the reentrant flow shop problem and distributed scheduling. The DRPFS is a NP-hard problem that …
JQ Li, P Duan, J Cao, XP Lin, YY Han - IEEE Access, 2018 - ieeexplore.ieee.org
During recent years, distributed manufacturing optimization problems have been researched and applied in many fields, such as steelmaking system and textile production process. To …
T Jamrus, HK Wang, CF Chien - Computers & Industrial Engineering, 2020 - Elsevier
To empower smart production for supply chain management, scheduling coordination and integration between suppliers, manufacturers, distributors, and customers is becoming …